AWS Data Engineer

Role

Type

Location

Experience

Requirements:

• Proficiency in Python and PySpark:

  Strong experience writing robust Python code and utilizing PySpark for distributed data processing, transformation, and working with large datasets.

• AWS Data Engineering Expertise:

  Hands-on experience with AWS Glue, Lambda, S3, Athena, DynamoDB, and Step Functions to build and manage data workflows.

• SQL Mastery:

  Deep knowledge of SQL for complex query writing, database design, and performance optimization.

• Terraform Experience:

  Familiarity with Terraform for managing AWS infrastructure as code is essential.

• Cloud Data Architecture:

  Experience designing and managing data solutions on AWS cloud platforms.

• Problem-Solving Skills:

  Strong troubleshooting skills for data pipeline issues, optimization challenges, and system bottlenecks.

Preferred Qualifications:

• Experience with Snowflake:

  Familiarity with Snowflake for data warehousing and integration with AWS.

• DBT Knowledge:

  Experience with DBT for data transformations, testing, and modeling is a strong plus.

• Collaboration and Communication:

  Strong interpersonal and collaboration skills for working in cross-functional teams.

• Version Control:

  Proficiency with version control systems like Git for managing code changes, reviews, and collaboration.